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Tabela de conteúdos

Materiais do curso

Materiais do curso

Course materials

Course Slides CSV data files R scripts
PDF slides CSV files R scripts
Slides powerpoint

Other materials

  1. ASOR package

Instructions

In the following $ is the LINUX prompt and > is the R prompt

  1. Open a terminal window where you can type LINUX commands
  2. create a working directory called Rmodelling for the course and get into the directory:
    $ mkdir Rmodelling
    $ cd Rmodelling
  3. download the zipped files above (csv.zip, scripts.zip, slides.zip) copying them to the working directory
  4. unzip the files with the commands below. This will create the subdirectories CSV, Scripts and Slides:
    Rmodelling$ unzip csv.zip 
    Rmodelling$ unzip scripts.zip 
    Rmodelling$ unzip slides.zip
  5. copy two files from the CSV directory to the working directory:
    Rmodelling$ cp CSV/.RData .
    Rmodelling$ cp CSV/makeInputData.r .
  6. Start R inside the Rcourse directory — this will make Rcourse your working directory. You can do this in two different ways:
    • Running R directly from the LINUX terminal simply by typing R:
      Rmodelling$ R
    • running from inside the editor xemacs — open xemacs and stard R from it with ESC SHIFT-X SHIFT-R
      Rmodelling$ xemacs &
  7. From inside R run the makeInputData.r script
    > source("makeInputData.r")
  8. The script will automatically generate another script file called inputData.R which reads all the data needed for the course. This script file should be run with:
    > source("inputData.R")

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